Software Engineer, AI Tooling

Selby Jennings; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

Selby Jennings is seeking a Software Engineer focused on AI Tooling to join a top trading firm building developer tools, internal platforms, and AI-enabled engineering solutions.

You will design and develop software across tooling, APIs, automation, and AI, owning projects from requirements to deployment while ensuring security and reliability. Collaboration across locations and a strong focus on improving the developer experience.

Qualifications

• 3+ years of professional software engineering experience.
• Strong programming skills in Python or Java.
• Experience building production software, APIs, internal platforms, or developer-facing tools.
• Familiarity with Docker, Kubernetes, containerized environments, and modern infrastructure.
• Experience owning technical projects through design, development, deployment, and ongoing improvement.
• Exposure to AI-assisted development or related tooling is a plus, not required.
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

Responsibilities

• Design and build internal tools, platforms, and services that improve developer productivity and engineering workflows.
• Develop software that integrates AI capabilities into day-to-day development processes.
• Build and maintain APIs, reusable components, integrations, and automation used by engineering teams.
• Improve how internal tools securely access and interact with technical systems and data.
• Partner with engineers and stakeholders to translate challenges into scalable technical solutions.
• Own projects from requirements through deployment and enhancement.
• Apply security, reliability, monitoring, and maintainability practices to production software.
• Explore and evaluate new AI/LLM technologies for engineering workflows.
• Contribute to tools for measuring and improving AI-enabled development solutions.
• Collaborate with engineering teams across locations to gather feedback and improve developer experience.

Skills

Python

Java

APIs

Developer tooling

Docker

Kubernetes

Problem solving

Ownership

AI/LLM interest

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

Docker

Kubernetes

CI/CD

Job description

A top performing trading firm is seeking a Software Engineer focused on AI Tooling to join a highly collaborative technology team that is building modern developer tools, internal platforms, and AI-enabled engineering solutions.

Key Responsibilities:

In this role, you will help design and develop software that improves how engineering teams build, test, deploy, and maintain production systems. You'll work across developer tooling, APIs, automation, infrastructure, and emerging AI technologies, with meaningful ownership throughout the full development lifecycle.

• Design and build internal tools, platforms, and services that improve developer productivity and engineering workflows
• Develop software that integrates AI capabilities into day-to-day development processes
• Build and maintain APIs, reusable components, integrations, and automation used by engineering teams
• Improve how internal tools securely access and interact with technical systems and data
• Partner with engineers and stakeholders to understand challenges and translate them into scalable technical solutions
• Own projects from initial requirements and architecture through development, deployment, and continued enhancement
• Apply strong security, reliability, monitoring, and maintainability practices to production software
• Explore and evaluate new AI/LLM technologies and determine practical applications within engineering workflows
• Contribute to tools for measuring and improving the effectiveness of AI-enabled development solutions
• Collaborate with engineering teams across locations to gather feedback and continuously improve the developer experience

This is an opportunity to work at the intersection of software engineering, developer infrastructure, and applied AI, with significant ownership and the ability to influence how modern AI technologies are adopted within a sophisticated engineering environment.

Desired Skills and Experience

• 3+ years of professional software engineering experience
• Strong programming skills in Python or Java
• Experience building production software, APIs, internal platforms, or developer-facing tools
• Familiarity with Docker, Kubernetes, containerized environments, and modern infrastructure
• Experience owning technical projects through design, development, deployment, and ongoing improvement
• Strong problem-solving skills with the ability to work through open-ended technical challengesBachelor's degree in Computer Science, Computer Engineering, or a related technical discipline
• Interest in AI/LLM-powered applications, developer automation, or emerging AI engineering tools - Exposure to AI-assisted development, agent-based systems, or similar tooling is a plus, but not required.